CERMEP-IDB-MRXFDG: a database of 37 normal adult human brain [18F]FDG PET, T1 and FLAIR MRI, and CT images available for research

• Published in: EJNMMI research Vol. 11; no. 1; pp. 91 - 10
• Main Authors: Mérida, Inés, Jung, Julien, Bouvard, Sandrine, Le Bars, Didier, Lancelot, Sophie, Lavenne, Franck, Bouillot, Caroline, Redouté, Jérôme, Hammers, Alexander, Costes, Nicolas
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 16.09.2021; Springer Nature B.V; SpringerOpen
• Subjects: Bioengineering; Cardiac Imaging; Computed tomography; Database sharing; Demographics; Fluorine isotopes; Healthy subjects; Image acquisition; Image processing; Imaging; Life Sciences; Magnetic resonance imaging; Medical imaging; Medicine; Medicine & Public Health; MRI; Neuroimaging; Nuclear Medicine; Oncology; Original Research; Orthopedics; PET-FDG; Positron emission; Quality control; Radiology; Tomography; Volumetric analysis; Neuroimaging; CT; Healthy subjects; Database sharing; MRI; PET-FDG
• ISSN: 2191-219X; 2191-219X
• DOI: 10.1186/s13550-021-00830-6

We present a database of cerebral PET FDG and anatomical MRI for 37 normal adult human subjects (CERMEP-IDB-MRXFDG). Thirty-nine participants underwent static [ 18 F]FDG PET/CT and MRI, resulting in [ 18 F]FDG PET, T1 MPRAGE MRI, FLAIR MRI, and CT images. Two participants were excluded after visual quality control. We describe the acquisition parameters, the image processing pipeline and provide participants’ individual demographics (mean age 38 ± 11.5 years, range 23–65, 20 women). Volumetric analysis of the 37 T1 MRIs showed results in line with the literature. A leave-one-out assessment of the 37 FDG images using Statistical Parametric Mapping (SPM) yielded a low number of false positives after exclusion of artefacts. The database is stored in three different formats, following the BIDS common specification: (1) DICOM (data not processed), (2) NIFTI (multimodal images coregistered to PET subject space), (3) NIFTI normalized (images normalized to MNI space). Bona fide researchers can request access to the database via a short form.